首页 > 解决方案 > 绘制带或不带图例的标准化尺寸(ggplot、grid.arrange)

问题描述

我有一系列地块(超过 10 个)使用 grid.arrange 排列在 2 个冒号上。由于它们都具有相同的 x 轴标签,因此我只为最后一个数组绘制 x 轴标签。但是,最后一个数组的绘图部分被压缩并减小了大小

这是该问题的可重现示例:

source("http://www.openintro.org/stat/data/arbuthnot.R")
library(ggplot2)
library(reshape2)
library(gridExtra)

names(arbuthnot) <- c("Year", "Men", "Women")

arbuthnot.melt <- melt(arbuthnot, id.vars = 'Year', variable.name = 'Sex', 
                       value.name = 'Rate')

p1 <- ggplot(arbuthnot.melt, aes(x = Year, y = Rate, shape = Sex, color = Sex, linetype = Sex))+
  geom_line() + scale_color_manual(values = c("Women" = '#ff00ff','Men' = '#3399ff')) + 
  scale_linetype_manual(values = c('Women' = 'solid', 'Men' = 'dotted')) +
  theme (axis.text.x=element_blank(),axis.title.x=element_blank())

p2 <- ggplot(arbuthnot.melt, aes(x = Year, y = Rate, shape = Sex, color = Sex, linetype = Sex))+
  geom_line() + scale_color_manual(values = c("Women" = '#ff00ff','Men' = '#3399ff')) + 
  scale_linetype_manual(values = c('Women' = 'solid', 'Men' = 'dotted')) +
  theme (axis.text.x=element_blank(),axis.title.x=element_blank())

p3 <- ggplot(arbuthnot.melt, aes(x = Year, y = Rate, shape = Sex, color = Sex, linetype = Sex))+
  geom_line() + scale_color_manual(values = c("Women" = '#ff00ff','Men' = '#3399ff')) + 
  scale_linetype_manual(values = c('Women' = 'solid', 'Men' = 'dotted')) +
  scale_x_continuous(expand = c(0, 0), labels=c("FSSFDFSDSDF", "ASD","QDDZXCC","QDDZXCC","QDDZXCC")) +
  theme(axis.text.x = element_text(hjust = 1, angle=90))

p4 <- ggplot(arbuthnot.melt, aes(x = Year, y = Rate, shape = Sex, color = Sex, linetype = Sex))+
  geom_line() + scale_color_manual(values = c("Women" = '#ff00ff','Men' = '#3399ff')) + 
  scale_linetype_manual(values = c('Women' = 'solid', 'Men' = 'dotted')) +
  scale_x_continuous(expand = c(0, 0), labels=c("FSSFDFSDSDF", "ASD","QDDZXCC","QDDZXCC","QDDZXCC")) +
  theme(axis.text.x = element_text(hjust = 1, angle=90))

grid.arrange(p1, p2, p3, p4, ncol=2)

在此处输入图像描述

是否可以标准化情节格式而不考虑它们是否拥有传奇?我的情况是,连最后两个情节的内容都看不懂……

标签: rggplot2grid-layout

解决方案


推荐阅读